Staff Software Engineer NPI

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:

Technology Product & Platform Management

Job Sub Function:

Software Engineering – DevOps

Job Category:

Scientific/Technology

All Job Posting Locations:

Santa Clara, California, United States of America

Job Description:

Johnson & Johnson is recruiting for a Staff Software Engineer-NPI, to join our Robotics & Digital Solutions team in Santa Clara, CA. 

About Surgery

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Are you passionate about improving and expanding the possibilities of surgery? Ready to join a team that’s reimagining how we heal? Our Surgery team will give you the chance to deliver surgical technologies and solutions to surgeons and healthcare professionals around the world. Your contributions will help effectively treat some of the world’s most prevalent conditions such as obesity, cardiovascular disease and cancer. Patients are waiting.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

In This Role You Will

• Investigate and develop AI technologies and solutions to the manufacturing environment

• Collaborate with cross-functional teams to identify and implement AI/ML solutions to improve business processes and user experiences

• Implement and maintain cloud computing infrastructure

• Perform data analysis and preprocessing to support model training, including handling large datasets and cleaning raw data

• Stay up-to-date with the latest trends and advancements in AI/ML research, applying new techniques and methodologies to improve product offerings

• Document and communicate technical processes, models, and results to both technical and non-technical stakeholders

• Mentor Junior SW Engineers

• Design and implement automated unit and integration test for robotic hardware and/or PCAs

• Interface with cross functional teams to determine efficient approach to each development effort

• Help to structure new software and refactor existing software for testability

• Develop modular test scripts to automate test data collection and analysis

• Hold formal technical reviews with stakeholders to release software libraries, tools, documentation, and test scripts

• Defect Tracking and Control – Find, investigate and report product problems

• Interface with our automated test infrastructure

The Staff SW Engineer, NPI will Lead Manufacturing Software development activities across the organization and functional groups focusing on:

General Engineering and Leadership

• Strong leadership capabilities to manage, coach and develop junior Software Engineer, NPI team

• Capable of communicating complex technical problems to a wide audience of experience

• Manage the development and deployment of our automated test infrastructure

• Lead in the Software Validation strategy of scripts used during manufacturing and testing of the robotic system

• Develop coding standards to be used by the entire NPI Engineering organization

• Align teams and individuals in proper Test Infrastructure standards

• Spearhead in the deployment of computers and computer peripherals to the manufacturing line   

Qualifications:

• B.S. or higher in Computer Science or Computer Engineering (or similar degree)

• 7+ years work experience in medical robotics industry

• Strong proficiency in Edge Computing and Cloud Computing

• Familiarity with model deployment and scaling in multiple cloud environments (AWS, Azure, Google Cloud)

• Experience working on instrumentation automation and using scripting languages such as Python, Shell, Batch, Bash or Linux commands.

• Experience with ver